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large language models

2,652 papers

#machine learning Open access May 2017

What Influences the Speed of Prototyping? An Empirical Investigation of Twenty Software Startups

This study conducts a multiple case study on twenty European software startups and proposes a prototype-centric learning model in early stage software startups, and identifies factors that occur as barriers but also facilitators for prototyping in earlystage software startups.

Anh Nguyen-Duc, Xiaofeng Wang, P. Abrahamsson · 44 citations · ⚡5
#computer vision Open access Jun 2017

Coopetition of Software Firms in Open Source Software Ecosystems

This study explores how software firms interact with others in OSS ecosystems from a coopetition perspective, and finds that software firms emphasize the co-creation of common value and partly react to the potential competitiveness on O SS ecosystems.

Anh Nguyen-Duc, D. Cruzes, G. Hanssen et al. · 17 citations · ⚡2
#computer vision Open access 2018

Combining Social Service and Healthcare as the First Country in the World : Exploring the Impacts on Information Systems

The enterprise architecture is applied for the largest county comprising of over 1900 social service and healthcare related information systems and the target is to design one joint system with maximum of 300 supporting information systems resulting in 3 B EUR savings.

H. Vilpponen, M. Grundström, P. Abrahamsson · 3 citations
#computer vision Open access Feb 2018

Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.

Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al. · 78 citations · ⚡6
#artificial intelligence Conference Open access Jun 2018

The Key Concepts of Ethics of Artificial Intelligence

It is suggested that the focus on finding keywords is the first step in guiding and providing direction for future research in the AI ethics field.

Ville Vakkuri, P. Abrahamsson · 39 citations · ⚡2
#computer vision Book Open access Aug 2019

Software startup education: gamifying growth hacking

This work presents two board games intended to serve as an engaging introduction to growth hacking for students and helps spark interest in growth hacking among the academia.

Kai-Kristian Kemell, P. Feshchenko, Joonas Himmanen et al. · 9 citations · ⚡1
#computer vision Open access Mar 2021

The entrepreneurial logic of startup software development: A study of 40 software startups

This study investigates the tactics behind software engineering (SE) activities by analyzing key engineering events during startup journeys and explores how entrepreneurial mindsets may be associated with SE knowledge areas and with each startup case.

Anh Nguyen-Duc, Kai-Kristian Kemell, P. Abrahamsson · 23 citations · ⚡1
#large language models Open access 2022

How modeling helps in developing self-sovereign identity governance framework: An experience report

This research presents a probabilistic approach that can be used to estimate the probability that a person’s identity will change over time based on the types of activities they perform online.

Maha Sroor, Nicky Hickman, Taija Kolehmainen et al. · 5 citations
#computer vision Review Apr 2024

AI-powered Code Review with LLMs: Early Results

The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.

Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al. · 62 citations · ⚡3

Experimenting with Multi-Agent Software Development: Towards a Unified Platform

A unified platform that utilizes multiple artificial intelligence agents to automate the process of transforming user requirements into well-organized deliverables, including user stories, prioritization, and UML sequence diagrams, along with the modular approach to APIs, unit tests, and end-to-end tests.

Malik Abdul Sami, Muhammad Waseem, Z. Rasheed et al. · 14 citations · ⚡1
#computer vision Review Jun 2024

A Tool for Test Case Scenarios Generation Using Large Language Models

A web-based software tool is introduced that employs an LLM-based agent and prompt engineering to automate the generation of test case scenarios against user requirements and crafting test case scenarios based on these stories.

Malik Abdul Sami, Z. Rasheed, Muhammad Waseem et al. · 13 citations
#computer vision Apr 2024

Prioritizing Software Requirements Using Large Language Models

A web-based software tool utilizing AI agents and prompt engineering to automate task prioritization and apply diverse prioritization techniques, aimed at enhancing project management within the agile framework is introduced.

Malik Abdul Sami, Z. Rasheed, Muhammad Waseem et al. · 15 citations

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